In recent years the decoding of surface electromyography signals produced by skeletal muscles during the execution of hand gestures has found many applications in human–machine interface, myoelectric control, rehabilitation, and other domains. The availability and diversity of electromyography data has encouraged advancements in processing and data analysis algorithms that pave the way for the development of more complex applications. This also includes fusion with other data types for gesture recognition. This Special Issue aims to communicate novel ideas and new theoretical frameworks/algorithms that are close to real-life applications. It should provide the opportunity for machine learning, robotics, and AI researchers from academia and industry to present their latest work, share ideas, and strengthen contacts within this mixed “EMG/Data Processing” and “University/Industry” R&D community.
Topics of interest include (but are not limited to):
- Hand gesture recognition from sEMG sensor data
- sEMG and other sensors in gesture recognition
- Deep learning and gesture recognition
- Hand gesture recognition for gaming and virtual reality applications
- Hand gesture recognition for robotics applications
- Hand gesture recognition for medical and rehabilitation applications
- sEMG and IMU sensor large datasets
- sEMG in prosthesis control and grasping
- sEMG for biometrics applications (person verification and identification)
Special Issue Guest Editors
Prof. Dr. Athanassios Skodras
Prof. Dr. Jan Cornelis
Prof. Dr. Bart Jansen
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.
Keywords
- surface electromyography
- machine learning
- hand gesture recognition
- classification
- deep learning
- time-series analysis and modeling